Posts Tagged ‘ teaching ’

Why I think the top batting average will be higher than .311: Over-pooling of point predictions in Bayesian inference

October 19, 2017
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In a post from 22 May 2017 entitled, “Who is Going to Win the Batting Crown?”, Jim Albert writes: At this point in the season, folks are interested in extreme stats and want to predict final season measures. On the morning of Saturday May 20, here are the leading batting averages: Justin Turner .379 Ryan […] The post Why I think the top batting average will be higher than .311:…

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Stan case studies

October 15, 2017
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Following up on recent posts here and here, I thought I’d post a list of all the Stan case studies we have so far. 2017: Modeling Loss Curves in Insurance with RStan, by Mick Cooney Splines in Stan, by Milad Kharratzadeh Spatial Models in Stan: Intrinsic Auto-Regressive Models for Areal Data, by Mitzi Morris The […] The post Stan case studies appeared first on Statistical Modeling, Causal Inference, and Social…

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Halifax, NS, Stan talk and course Thu 19 Oct

October 12, 2017
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Halfiax, here we come. I (Bob, not Andrew) am going to be giving a talk on Stan and then Mitzi and I will be teaching a course on Stan after that. The public is invited, though space is limited for the course. Here are details if you happen to be in the Maritime provinces. TALK: […] The post Halifax, NS, Stan talk and course Thu 19 Oct appeared first on…

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Please contribute to this list of the top 10 do’s and don’ts for doing better science

October 10, 2017
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Demis Glasford does research in social psychology and asks: I was wondering if you had ever considered publishing a top ten ‘do’s/don’ts’ for those of us that are committed to doing better science, but don’t necessarily have the time to devote to all of these issues [of statistics and research methods]. Obviously, there is a […] The post Please contribute to this list of the top 10 do’s and don’ts…

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Rich maths with Dragons

October 9, 2017
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Rich maths with Dragons

Thanks to the Unlocking Curious Minds fund, StatsLC have been enabled to visit thirty rural schools in Canterbury and the West Coast and provide a two-hour maths event to help the children to see themselves as mathematicians. The groups include … Continue reading →

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Alan Sokal’s comments on “Abandon Statistical Significance”

October 3, 2017
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The physicist and science critic writes: I just came across your paper “Abandon statistical significance”. I basically agree with your point of view, but I think you could have done more to *distinguish* clearly between several different issues: 1) In most problems in the biomedical and social sciences, the possible hypotheses are parametrized by a […] The post Alan Sokal’s comments on “Abandon Statistical Significance” appeared first on Statistical Modeling,…

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For mortality rate junkies

September 30, 2017
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Paul Ginsparg and I were discussing that mortality rate adjustment example. I pointed him to this old tutorial that laid out the age adjustment step by step, and he sent along this: For mortality rate junkies, here’s another example [by Steven Martin and Laudan Aron] of bundled stats lending to misinterpretation, in this case not […] The post For mortality rate junkies appeared first on Statistical Modeling, Causal Inference, and…

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Trial by combat, law school style

September 13, 2017
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This story is hilarious. 78-year-old law professor was told he can no longer teach a certain required course; this jeopardizes his current arrangement where he is paid full time but only teaches one semester a year, so he’s suing his employer . . . Columbia Law School. The beautiful part of this story is how […] The post Trial by combat, law school style appeared first on Statistical Modeling, Causal…

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Self-study resources for Bayes and Stan?

September 10, 2017
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Someone writes: I’m interested in learning more about data analysis techniques; I’ve bought books on Bayesian Statistics (including yours), on R programming, and on several other ‘related stuff’. Since I generally study this whenever I have some free time, I’m looking for sources that are meant for self study. Are there any sources that you […] The post Self-study resources for Bayes and Stan? appeared first on Statistical Modeling, Causal…

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Nice interface, poor content

August 25, 2017
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Jim Windle writes: This might interest you if you haven’t seen it, and I don’t think you’ve blogged about it. I’ve only checked out a bit of the content but it seems a pretty good explanation of basic statistical concepts using some nice graphics. My reply: Nice interface, but their 3 topics of Statistical Inference […] The post Nice interface, poor content appeared first on Statistical Modeling, Causal Inference, and…

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